Feature meilisearch-mcp as an official AI assistant tool (#3276)

---------

Co-authored-by: gui machiavelli <gui@meilisearch.com>

Author: tpayet

guides/ai/getting_started_with_chat.mdx

@@ -4,8 +4,6 @@ sidebarTitle: Getting started with chat
 description: Learn how to implement AI-powered conversational search in your application
 ---
 
-import { Warning, Note } from '/snippets/notice_tag.mdx'
-
 This guide walks you through implementing Meilisearch's chat completions feature to create conversational search experiences in your application.
 
 <Warning>

learn/ai_powered_search/conversational_search_with_chat.mdx

@@ -4,8 +4,6 @@ sidebarTitle: Conversational search
 description: Learn how to implement AI-powered conversational search using Meilisearch's chat feature
 ---
 
-import { Warning } from '/snippets/notice_tag.mdx'
-
 Meilisearch's chat completions feature enables AI-powered conversational search, allowing users to ask questions in natural language and receive direct answers based on your indexed content. This feature transforms the traditional search experience into an interactive dialogue.
 
 <Warning>
@@ -65,6 +63,10 @@ Meilisearch's chat completions consolidates these into one streamlined process:
 - Exact matching is critical
 - Response time is paramount
 
+## Alternative: Model Context Protocol integration
+
+When integrating Meilisearch with AI assistants and automation tools, consider using [Meilisearch's Model Context Protocol (MCP) server](/guides/ai/mcp). MCP enables standardized tool integration across various AI platforms and applications.
+
 ## Architecture overview
 
 The chat completions feature operates through workspaces, which are isolated configurations for different use cases or tenants. Each workspace can:

learn/resources/sdks.mdx

@@ -53,6 +53,11 @@ You can use Meilisearch API wrappers in your favorite language. These libraries
 - [Gatsby plugin](https://github.com/meilisearch/gatsby-plugin-meilisearch/)
 - [Firebase](https://github.com/meilisearch/firestore-meilisearch)
 
+## AI Assistant tools
+
+- [meilisearch-mcp](https://github.com/meilisearch/meilisearch-mcp): Model Context Protocol server for integrating Meilisearch with AI assistants and tools
+  - Guide: [Model Context Protocol integration](/guides/ai/mcp)
+
 ## Other tools
 
 - [docs-scraper](https://github.com/meilisearch/docs-scraper): a scraper tool to automatically read the content of your documentation and store it into Meilisearch.

reference/api/chats.mdx

@@ -5,7 +5,6 @@ description: The /chats route allows you to create conversational search experie
 ---
 
 import { RouteHighlighter } from '/snippets/route_highlighter.mdx';
-import { Warning } from '/snippets/notice_tag.mdx'
 
 The `/chats` route enables AI-powered conversational search by integrating Large Language Models (LLMs) with your Meilisearch data. This feature allows users to ask questions in natural language and receive contextual answers based on your indexed content.